mvtnorm (R package): papers linking to it

CRAN · CRAN.R-project.org/package=mvtnorm

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to mvtnorm (R package) (https://CRAN.R-project.org/package=mvtnorm), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

22 papers in the tracked journals link to mvtnorm (R package) in their Crossref records, the first in 2017; most of them (4) in 2023.
By category: Statistics (14), Operations Research (6) and Finance (1); the journals with the most are Computational Statistics (5), Methodology And Computing In Applied Probability (2) and Statistics and Computing (2).
2 of the papers build on one another: a later paper cites an earlier one that also links mvtnorm (R package).

By year#

20172026

Papers linking to mvtnorm (R package) by publication year
Year	Papers
2017	3
2018	3
2019	1
2020	2
2021	1
2022	2
2023	4
2024	2
2025	2
2026	2

Journals#

Journals whose papers link to mvtnorm (R package) most
Journal	Papers
Computational Statistics	5
Methodology And Computing In Applied Probability	2
Statistics and Computing	2
Journal of Multivariate Analysis	2
Japanese Journal of Statistics and Data Science	2

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Geostatistical estimation and prediction for censored responses Spatial Statistics, 2017
- Autoregressive Bayesian modeling of censored HIV longitudinal data using the multivariate Student’s-t distribution Japanese Journal of Statistics and Data Science, 2025 — cites the paper above

Papers linking to mvtnorm (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2017-05-25	Finite mixture modeling of censored data using the multivariate Student- t distribution	Journal of Multivariate Analysis	Victor Hugo Lachos, Edgar Javier López Moreno, Kun Chen et al.	33	cites it
2018-07-12	A Bayesian optimization approach to find Nash equilibria	Journal of Global Optimization	Victor Picheny, Mickaël Binois, Abderrahmane Habbal	29	cites it
2018-10-08	Managing projects with uncertain deadlines	European Journal of Operational Research	Robert F. Bordley, Jeffrey M. Keisler, Tom McLeod Logan	28	cites it
2017-12-12	Geostatistical estimation and prediction for censored responses	Spatial Statistics	José Alejandro Ordoñez, Dipankar Bandyopadhyay, Victor Hugo Lachos et al.	15	cites it
2019-02-26	Nonparametric multiple contrast tests for general multivariate factorial designs	Journal of Multivariate Analysis	Asanka Gunawardana, Frank Konietschke	15	cites it
2020-05-07	Approximations for the Boundary Crossing Probabilities of Moving Sums of Random Variables	Methodology And Computing In Applied Probability	Jack Noonan, Anatoly A. Zhigljavsky	15	cites it
2022-04-01	Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations	Computational Statistics	Patrick Benjamin Langthaler, Riccardo Ceccato, Luigi Salmaso et al.	12	cites it
2018-05-04	Generalized conditioning based approaches to computing confidence intervals for solutions to stochastic variational inequalities	Mathematical Programming	Michael Lamm, Shu Lü	9	cites it
2022-07-16	Clustered Bayesian classification for within-class separation	Expert Systems with Applications	Fatih Sağlam, Emre Yıldırım, Mehmet Ali Cengiz	8	cites it
2017-01-10	Stochastic sensitivity analysis of concentration measures	Central European Journal of Operations Research	Martin Boďa	4	cites it
2020-08-07	Testing symmetry around a subspace	Statistical Papers	Šárka Hudecová, Miroslav Šiman	4	cites it
2023-08-25	The distribution of the sample correlation coefficient under variance-truncated normality	Metrika	Haruhiko Ogasawara	3	cites it
2025-10-17	Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes	Statistics and Computing	Gaurav Agarwal, Idris Arthur Eckley, Paul Fearnhead	3	cites it
2021-11-18	Applying the rescaling bootstrap under imputation for a multistage sampling design	Computational Statistics	Christian Bruch	1	cites it
2023-06-01	On Familywise Error Rate Cutoffs under Pairwise Exchangeability	Methodology And Computing In Applied Probability	Thomas Fung, Eugene B. Seneta	1	cites it
2023-07-01	hermiter: R package for sequential nonparametric estimation	Computational Statistics	Michael Stephanou, Melvin Varughese	1	cites it
2024-09-06	A precise and efficient exceedance-set algorithm for detecting environmental extremes	Computational Statistics	Thomas Suesse, Alexander Brenning	1	cites it
2023-03-07	On combining unbiased and possibly biased correlated estimators	Japanese Journal of Statistics and Data Science	Stavros Zinonos, William E. Strawderman	0	cites it
2024-12-28	A limit formula and recursive algorithm for multivariate Normal tail probability	Statistics and Computing	Siu‐Kui Au	0	cites it
2025-03-23	Autoregressive Bayesian modeling of censored HIV longitudinal data using the multivariate Student’s-t distribution	Japanese Journal of Statistics and Data Science	Kelin Zhong, Luis M. Castro, Panpan Zhang et al.	0	cites it
2026-08-25	Doubly blocked variant of Genz’s method for multivariate normal integration	Computational Statistics	Jakob Peterlin	0	cites it
2026-11-01	Stochastic orders for the comparison of random cash flows with random interest rates	Insurance Mathematics and Economics	Carlos Enrique Carleos, María Concepción López-Díaz, Miguel López-Dı́az	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). mvtnorm (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mvtnorm

@misc{scholar4ai-code-cran-mvtnorm,
  author = {{Scholar4AI}},
  title = {mvtnorm (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-mvtnorm}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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